Entity extraction vs. LLMs tradeoffs

Paulo Vasconcellos is the Principal Data Scientist for Generative AI Products at Hotmart, working on AI-powered creator and learning experiences, including intelligent tutoring, content automation, and multilingual localization at scale.

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// Abstract

“Agent as a product” sounds like hype, until Hotmart turns creators’ content into AI businesses that actually work.

// Bio

Paulo Vasconcellos is the Principal Data Scientist for Generative AI Products at Hotmart, where he leads efforts in applied AI, machine learning, and generative technologies to power intelligent experiences for creators and learners. He holds an MSc in Computer Science with a focus on artificial intelligence and is also a co-founder of Data Hackers, a prominent data science and AI community in Brazil. Paulo regularly speaks and publishes on topics spanning data science, ML infrastructure, and AI innovation.

// Related LinksWebsite: paulovasconcellos.com.br

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Timestamps:

[00:00] Hotmart Data Science Challenges

[02:38] LLMs vs spaCy

[11:38] Use Cases in Production

[19:04] Coding Agents Virtual Conference Announcement!

[29:27] ML to AI Product Shift

[34:49] Tool-Augmented Agent Approach

[38:28] MLOps GPU Guide

[41:24] AI Use Cases at Hotmart

[49:34] Agent Tool Access Explained

[51:04] MLOps Community Gratitude

[53:22] Wrap up